Amazon Technologies, Inc.

Petko Tsonev

Jayakrishnan Kumar Eledath

Jue Wang

Nishitkumar Ashokkumar Desai

Connor Spencer Blue Worley

Behjat Siddiquie

Claire Law

Hue Tuan Thi

Bharat Singh

Gerard Guy Medioni

Jean Laurent Guigues

Pahal Kamlesh Dalal

Tian Lan

Chuhang Zou

Samuel Nathan Hallman

Matthew Fletcher Harrison

Michael Francis O'Malley

Paul Ignatius Dizon Echevarria

This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate inventory locations within the facility for various types of items supported by product fixtures. In particular an image of a product fixture is analyzed to identify image segments corresponding to product groups, where each product group consists of instances of the same product and each image segment corresponds to a group of image points. Image data is further analyzed to determine coordinates of the points of each image segment. A product space corresponding to the product group is then defined based on the coordinates of the points of the product group. In some cases, for example, a product space may be defined in terms of the coordinates of the corners of a rectangular bounding box or volume.

Image-based detection of planogram product spaces

This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate, for different shelves and other inventory locations within the facility, which items are on which shelves. For example, the planogram data may indicate that a particular item is located on a particular shelf. Therefore, when a system identifies that a user has taken an item from that shelf, the system may update a virtual cart of that user to indicate addition of the particular item. In some instances, however, a new item may be stocked on the example shelf instead of a previous item. The techniques described herein may use sensor data generated in the facility to identify this change and update the planogram data to indicate an association between the shelf and the new item.

Inferring facility planograms

An imaging device may capture images of a scene, where the scene includes retroreflective materials. Where visual images and depth images are captured from a scene, and the depth images have ratios of supersaturated pixels that are less than a predetermined threshold, a location map of the scene is generated or updated based on the depth images. Where the ratios are greater than the predetermined threshold, the location map of the scene is generated or updated based on the visual images. Additionally, where each of a plurality of imaging devices detect concentrations of supersaturated pixels beyond a predetermined threshold or limit within their respective fields of view, an actor present on the scene may be determined to be wearing retroreflective material, or otherwise designated as a source of the supersaturation, and tracked with the scene based on coverage areas that are determined to have excessive ratios of supersaturated pixels.

Detecting and locating actors in scenes based on degraded or supersaturated depth data

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Issaquah, WA, United States of America

Petko Tsonev